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Continuous Improvement Engineer

Making changes to an existing process is a valuable way to meet target KPIs and to improve production scheduling and use of equipment. For products and processes going out of patent it can help maintain competitive advantage and economic viability. Telescoping of reaction steps, changes in the solvent used, modified process operating conditions and the use of new equipment may all require approval from regulatory authorities and will be questioned by colleagues who know the process after working with it for many years.

Using DynoChem to evaluate the effect of process changes with any new data available from a laboratory and existing data from current production campaigns is an invaluable tool to demonstrate you have the process understanding necessary to make changes that will work whether you are involved with troubleshooting or continual improvement projects.

For example, a user recently presented a case where reaction kinetics were obtained from existing laboratory batch reactions and then feasibility of running the process in a continuous reactor were examined to determine required mass transfer, heat transfer and residence times.

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Relevant Customer Publications

"Crystallization Process Improvement Driven by DynoChem Process Modeling", Pfizer (2011)

"Modelling Solid-Liquid Separations: Fine-Tuning the Filtration Model", Janssen (2011)

"Practical Aspects of Distillation Modeling in DynoChem", Amgen (2009)

"Applications in Kilo Lab Flow Chemistry and Scale-up", Pfizer (2011)

"Green Chemistry Using Continuous Distillation to Cut Solvent Usage", Schering-Plough (2008)